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2020-09-22

BCNET Summit 2020 logo
Date:
Wednesday, September 23, 2020 to Thursday, September 24, 2020
Location

 

 
Speaker Info:
Description

BCNET is proud to present a virtual Cybersecurity and Research Innovation Summit, on September 23rd and 24th, 2020. Designed for higher ed researchers, cybersecurity and IT professionals, the two-day, duo-channel event will be driven by insightful content and meaningful conversations. The Summit is an opportunity to explore timely topics while connecting with like-minded peers.

The virtual Summit spans two days and will feature two live channels to engage higher education security professionals, IT professionals, faculty, and researchers in addressing the current technology challenges their institutions face:

  • The Cybersecurity channel will connect identity management, security and privacy professionals to address the current threat landscape that impacts public, post-secondary institutions today.
  • The Research Innovation channel brings together researchers, IT professionals and academics to collaborate about IT experiences, successes, resources, challenges and solutions to better support research and accelerate time to discovery + innovation.
Date:
Location

 

 
 
 
Speaker Info:
Alex Razoumov
Training & Visualization Coordinator
WestGrid
,
Marie-Hélène Burle
Research Computing Training Assistant
WestGrid
Description

This is part of an Advanced Computing Workshop Series WestGrid is running in partnership with the UBC Research Library Commons. Click here to view the full series.

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Working with multidimensional arrays is essential in many scientific fields. In this workshop we will focus on working with arrays in Python. We will start with regular numpy (https://numpy.org) arrays, then transition to multidimensional labelled arrays with xarray (http://xarray.pydata.org), and then we will take a look at working with 3D multi-resolution volumetric and particle data in yt (https://yt-project.org). We will also do some array visualization along the way.

Pre-requisites:

  • A basic familiarity with running Python in Jupyter notebooks is required. 
 
 
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